IEEE Transactions on Automatic Control

最新文章

• Arbitrarily Small Execution-Time Certificate: What Was Missed in Analog Optimization AI翻译
  作者：Wu, Liang; Adegbege, Ambrose; Song, Yongduan; Braatz, Richard D.
  作者单位：Massachusetts Institute of Technology (MIT); College of New Jersey; Chongqing University
  摘要：Numerical optimization (solving optimization problems using digital computers) currently dominates but has three drawbacks: high energy consumption, poor scalability, and lack of an execution time certificate. To address these challenges, this article explores the recent resurgence of analog computers, proposing a novel paradigm of arbitrarily small execution-time-certified analog optimization (solving optimization problems via analog computers). To achieve ultra-low energy consumption, this p...
• A Prerouted Searching Approach to Adaptive Event-Triggered Control of Uncertain Nonlinearly Parameterized Systems AI翻译
  作者：Wang, Yutian; Li, Huanhuan; Jin, Zhenghong; Jiang, Yi; Vardulakis, Antonis I. G.
  作者单位：University of Cyprus; Henan University of Technology; Nanyang Technological University; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Aristotle University of Thessaloniki
  摘要：This article presents a generic design approach to the adaptive event-triggered control for a class of nonlinear systems subject to nonlinearly appearing unknown parameters and uncertain nonlinearities. The overall event-triggered control strategy relies on the co-design consisting of parameterized control laws, a parameter switching logic, and an event-triggered sampling mechanism, which guarantees that all the closed-loop states are bounded and the plant state asymptotically converges to the...
• Adaptive Control for Nonlinear Systems With Both Tracking Error Constraints and Full-State Constraints: A Universal Constraint Approach AI翻译
  作者：Zhang, Yu; Pang, Keli; Chen, Jiannan; Li, Kuo; Hua, Changchun
  作者单位：Yanshan University; Korea University
  摘要：This article studies the adaptive control problem for a class of uncertain strict-feedback nonlinear systems, where both tracking error and full states need to be directly constrained. First, a novel universal constraint approach is introduced, which combines a universal composite barrier function that depends on the tracking error and the output, with universal barrier functions that depend on the remaining states. Compared with existing research, it displays the following appealing features....
• Distributed Dynamic No-Regret Learning in Two-Network Zero-Sum Games AI翻译
  作者：Liao, Lan; Yuan, Deming; Ho, Daniel W. C.; Zheng, Wei Xing; Zhang, Baoyong; Yu, Zhan
  作者单位：Nanjing University of Science & Technology; City University of Hong Kong; Western Sydney University; Hong Kong Baptist University
  摘要：This article considers the time-varying zero-sum game between two multiagent networks with different topologies. The two networks are modeled as adversarial players, where agents within each network communicate with their local neighbors while simultaneously gathering information from the opposing network through a bipartite interaction framework. The payoffs of the agents can be quantified by time-varying cost functions, and the objective is to design an online distributed algorithm to optimi...
• Fixed-Time Stabilization of Uncertain Continuous-Time Systems With Sampled Control AI翻译
  作者：Mazenc, Frederic; Malisoff, Michael
  作者单位：Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay; Inria; Louisiana State University System; Louisiana State University
  摘要：We prove fixed-time stabilization estimates using sampled controls, for continuous-time time-varying linear systems that can contain uncertain coefficient matrices. In the special case where the coefficient matrices are known, this yields a fixed-time input-to-state stability property, in which the norm of the current state is bounded from above by a supremum of the uncertainty that is calculated over a finite length time interval of a constant length. We also prove analogs for output feedback...
• Symmetry-Based Observers for ODE Systems AI翻译
  作者：Battilotti, Stefano
  作者单位：Sapienza University Rome
  摘要：An observer design framework is introduced for ordinary differential equation systems based on various types of existing or even novel one-parameter symmetries (exact, asymptotic, and variational) ending up with different types of semiglobal and global observers, by considering bounded or unbounded system solutions and requiring asymptotic-time or prescribed-time error convergence. We compare some of these symmetry-based observers with existing observers, recovering for instance the same perfo...
• Dynamic Average Consensus Over Strongly Connected Digraphs Based on Integral Surplus AI翻译
  作者：Cao, Runhua; Liu, Yongfang; Zhao, Yu; Wu, Dapeng Oliver; Chen, Guanrong
  作者单位：Northwestern Polytechnical University; City University of Hong Kong; City University of Hong Kong
  摘要：This article addresses the design of a dynamic average consensus (DAC) algorithm over strongly connected but may not necessarily balanced digraphs, which seems to be the first time in the literature. Specifically, a new concept of integral surplus is proposed for DAC problems. On this basis, an integral surplus DAC algorithm is developed for agents to track the average of their multiple dynamic input signals with a bounded steady-state error. Such error is tunable by some algorithm parameters ...
• Adaptive Output Feedback MPC With Guaranteed Stability and Robustness AI翻译
  作者：Dey, Anchita; Bhasin, Shubhendu
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Delhi
  摘要：This work proposes an adaptive output feedback model predictive control (MPC) framework for uncertain systems subject to external disturbances. In the absence of exact knowledge about the plant parameters and complete state measurements, the MPC optimization problem is reformulated in terms of their estimates derived from a suitably designed robust adaptive observer. The MPC routine returns a homothetic tube for the state estimate trajectory. Sets that characterize the state estimation errors ...
• Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control AI翻译
  作者：Zino, Lorenzo; Ye, Mengbin; Calafiore, Giuseppe C.; Rizzo, Alessandro
  作者单位：Polytechnic University of Turin; Curtin University; Adelaide University; University of Adelaide
  摘要：In this article, we deal with the equilibrium selection problem, which amounts to steering a population of individuals engaged in strategic game-theoretic interactions to a desired collective behavior. In the literature, this problem has been typically tackled by means of open-loop strategies, whose applicability is limited by the need of accurate a priori information on the game and a lack of robustness to uncertainty and noise. Here, we overcome these limitations by adopting a closed-loop ap...
• Estimation of the Linear System via Optimal Transportation and Its Application for Missing Data Observations AI翻译
  作者：Kang, Jiayi; Jiao, Xiaopei; Yau, Stephen S. -T.
  作者单位：Tsinghua University
  摘要：In this article, an optimal transportation particle method has been proposed to deal with the data fusion problem. The proposed method can handle prediction, filtering, and smoothing problems uniformly more robustly and stably than traditional algorithms. Our main idea is to approximate the trajectory in Wasserstein space, which is the set of probability distributions equipped with the Wasserstein metric. Recent literature has demonstrated the successful application of optimal transportation f...